Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/65998
Type: Artigo de periódico
Title: Evaluation of the number of factors needed for residual bilinearization in BLLS and UPLS models to achieve the second-order advantage
Author: Braga, JWB
Carneiro, RL
Poppi, RJ
Abstract: Bilinear least squares (BLLS) and unfold partial least squares (UPLS) are second-order multivariate calibration methods, which require the application of the residual bilinearization (RBL) algorithm to achieve the second-order advantage. The present work presents a study of the choice of the number of RBL factors, in BLLS and UPLS models, for two different datasets based on fluorescence and flow injection analysis (FIA) measurements. Confidence limits for the noise level and mean calibration residuals, based on a student-t distribution, are proposed as a criterion for determination of the number of RBL factors. Feasible results were obtained based on the proposed confidence limits, but divergences were observed in some situations in the FIA dataset due to either differences in the models or characteristics of the analyte signal. These results suggest, whenever possible, that the number of RBL factors should be checked with a dataset composed by samples where values of the property of interest are known from a reference method. (C) 2009 Elsevier B.V. All rights reserved.
Subject: Second-order multivariate calibration
BLLS
UPLS
RBL
Fluorescence
Flow injection analysis
Country: Holanda
Editor: Elsevier Science Bv
Rights: fechado
Identifier DOI: 10.1016/j.chemolab.2009.11.006
Date Issue: 2010
Appears in Collections:Unicamp - Artigos e Outros Documentos

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